Functional Polymers and Their Nanocomposites for Sustainable Packaging Applications
Bibliographic record
Abstract
Abstract This study explores recent advances and knowledge gaps in developing sustainable plastics‐based packaging materials, emphasizing functionality and nanotechnology's impact on sustainability. It discusses material selection decisions, such as replacing conventional materials or fossil‐based recyclable plastics with bio‐based biodegradable options, within cradle‐to‐grave life cycle assessments. The choice of end‐of‐life strategies, including recycling or biodegradation/composting, is influenced by existing infrastructure, providing realistic end‐of‐life scenario estimates. Other sustainability factors include extending shelf life, reducing food waste, minimizing material use, and enhancing recyclability. Evaluating economic viability and scalability is crucial for commercializing academic research, ensuring that these sustainable solutions are practical for society. Key attributes of the article highlight nanotechnology's role, functional improvements in sustainable packaging design, and the significance of life cycle assessment and economic feasibility for developing effective solutions. This review presents a comprehensive overview of essential factors for achieving sustainability and guiding the creation of high‐quality sustainable packaging for diverse markets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".